Schedule and Slides

QSSBA, Spring 2025

Week	Date	Topic	Slides	Lab Sessions	RScript	Data
1	2/25	Introduction to QSS	Lec0	Lab0
1	2/27	Introduction to Social Science Data	Lec0	Lab0
2	3/04	Introduction to R,RStudio,Git,Github and LLMs	Lec1	Lab1
2	3/06	Introduction to R,RStudio,Git,Github and LLMs	Lec1	Lab1
3	3/11	Measurement in QSS	Lec2	Lab2
3	3/13	Measurement in QSS	Lec2	Lab2	Lab2_Script	gapminder
4	3/18	Data Management(I) in R		Lab3	Lab3_Script	teledata
4	3/20	Data Management(II) in R		Lab3	Lab3_Script	randdata
5	3/25	Data Management(III) in R		Lab4	Lab4_Script
5	3/27	Introduction to RMarkdown		Lab5	Lab5_Rmarkdown
7	4/8	Causal Inference	Lec3
7	4/10	Causal Inference	Lec3
8	4/15	OLS Regression(I)	Lec4
8	4/17	OLS Regression(II)	Lec5
9	4/22	OLS Regression(III)	Lec6
9	4/24	Student’s Presentation(I) for Research Proposal
10	4/29	Student’s Presentation(II) for Research Proposal
12	5/6	Matching	Lec7
12	5/8	Matching	Lec7updated	Lec8
13	5/13	OLS and Matching in R(I)		Lab6
13	5/15	OLS and Matching in R(II)		Lab6B_Script
14	5/20	Introduction to Machine Learning
14	5/22	Supervised Learning
15	5/27	Unsupervised Learning
15	5/29	Unsupervised Learning
16	6/3	ML in R
16	6/5	GIS Analysis in R
17	6/10	Basic Text Analysis
17	6/12	Student’s Presentation for Final Project(I)
18	6/17	Student’s Presentation for Final Project(II)